The Dirty Data Problem: Why Modernizing Infra Monitoring is Pivotal to AIOps

Presented by

Leslie Minnix-Wolfe, VP Product Marketing, Eric Hian-Cheong, Product Marketing Manager | ScienceLogic

About this talk

Jeff Dean at Google Brain once quipped that the most sophisticated AI algorithms succumb to the quality of the dataset they rely on - Garbage In, Garbage Out. If you struggle with visibility gaps for your modern IT infrastructure supporting new technologies. If you struggle with accuracy of your CMDB as a real-time trusted data source. If your data scientists struggle over dirty data, adjusting for structure and consistency, … You are then succumbing to the dirty data problem. Join this session to hear why modernizing your infrastructure monitoring environment is pivotal to any AIOps strategy.

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ScienceLogic is a leader in IT Operations Management, providing modern IT operations with actionable insights to predict and resolve problems faster in a digital, ephemeral world. Its IT infrastructure monitoring and AIOps solution sees everything across cloud and distributed architectures, contextualizes data through relationship mapping, and acts on this insight through integration and automation. Trusted by thousands of organizations, ScienceLogic’s technology was designed for the rigorous security requirements of United States Department of Defense, proven for scale by the world’s largest service providers, and optimized for the needs of large enterprises.